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Golden 1 Credit Union · 5 months ago

Corporate Strategy - Sr Analyst I - Business Analytics (Hybrid in Sacramento, CA)

8945 Cal Center Dr, Sacramento, CA 95826, USA

Full-time

Hybrid

Senior Level, Lead/Staff

$112K/yr - $115K/yr

8+ years exp

Golden 1 Credit Union is dedicated to delivering financial solutions with exceptional service to its members. They are seeking a Senior Analyst I in Business Analytics to provide analytical support, transform data into insights, and guide strategic development by analyzing information and trends. This role involves working closely with leadership and business partners on complex analyses that impact corporate strategy.

BankingFinanceFinancial Services

Responsibilities

Conduct complex analysis using advanced analytics methodologies

Deploy advanced analytics solutions

Create data stories from disparate and raw data sources that enable data driven decision making

Use statistical concepts and algorithms and tools to find causation, patterns, and trends

Support junior analysts on technical problem solving and analytics best practices

Support development of analytics best practices for the organization at scale

Develop robust executive level data visualizations

Lead requirements gathering sessions with internal and external stakeholders through interviews, use case identification, and workflow analysis

Proactively review business needs and suggest research projects that will add value to the Credit Union

Manage required ad hoc report preparation, analysis, and presentation to management as reference for strategic decisions, committee review and other information requests

Ensure compliance with applicable standards, rules, regulations, and systems of internal control

Review and maintain an understanding of current and future economic landscape and internal and external influence

Assist with signoff of reporting and analysis prior to release to the line of business

Qualification

Microsoft Power BISQL ProgrammingMicrosoft ExcelSAS Enterprise GuidePythonR ProgrammingData Analytics CertificationLeadershipCommunication SkillsCritical Thinking

Required

Requires a bachelor's degree in area of specialty (Accounting, Mathematics, Business Administration, Information Technology, or similarly quantitative/analytical degrees). Equivalent work experience with required knowledge/skills may be substituted for degree

8+ years or more of progressive banking/credit union experience

8+ years of Analytical Experience

Knowledge of commonly used concepts, practices, and procedures within credit union operations

Required-Expert knowledge in the following systems/applications: Microsoft Power BI - Building Visuals using existing Datasets, Power BI Desktop to build datasets and complex reporting and DAX Programming

SQL Programming - Select Statements, Joins, Aggregating Data, temp tables, and complex querying

Microsoft Excel- Formulas, functions, pivot tables, dashboard creation, data connections and automation with macros

Ability to speak on behalf of the leadership team

Adept in resolving conflicts in a professional manner

Demonstrates desire and ambition to achieve

Knows when work product requires additional attention to presentation and acts accordingly to ensure deliverables match the need

Is available and sought after as a resource of relevant skill and knowledge

Able to work through roadblocks and find solutions

Able to speak in technical and business language based on the audience

Ability to ask relevant probing questions of external stakeholders to ensure alignment of solutions with business need

Solid presentation skills; Speaks clearly and confidently

Makes complicated information understandable to the audience

Confident communicating with all levels of management outside the team, including executive leadership

Takes time to understand co-workers work goals and supports them in their effort to do their best work

Ability to motivate and inspire teammates

Preferred

Preferred- knowledge in the following systems/applications: SAS Enterprise Guide - Data Manipulation and transformation, data aggregation using the GUI tool, basic SAS programming

Python and/or R Programming – Machine learning, quantitative analysis and data modeling

Preferred: Data Analytics Certification like: Certified Analytics Professional (CAP), IBM Data Science Professional Certificate, Datacamp Analyst Certification, Microsoft Data Analyst Associate Certification, SQL Certification, or other graduate work in the fields of finance, business intelligence or data analytics